PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
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Updated
May 27, 2017 - Python
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
Translating Synthetic RIRs to Real RIRs
Developing an image editing application to edit images to have a desired attribute using Generative Adversarial Networks(DCGAN and CycleGAN) (https://tandon-a.github.io/Image-Editing-using-GAN/)
Attention based Single Image Dehazing Using Improved CycleGAN
Pixel-level domain adaptation: A study case on generating parking-slot image samples.
Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
Official Implementation for the paper Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking System.
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
This repository is about different types of GANs in pytorch, their proper settings and training results
A novel data augmentation method based on Cycle-GAN, and a new offline handwritten signature verification system based on CapsNet.
This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
This repository contains the code for the paper "Self-supervised Text Style Transfer using Cycle-Consistent Adversarial Networks".
Cycle-Consistent Adversarial Networks (CycleGAN) using Tensorflow 2.0
Gender Change of faces implemented with CycleGAN (in Keras) for Deep Learning Course
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